#! /usr/bin/env python
# -*- coding: utf-8 -*-
##############################################################################
## DendroPy Phylogenetic Computing Library.
##
## Copyright 2010-2015 Jeet Sukumaran and Mark T. Holder.
## All rights reserved.
##
## See "LICENSE.rst" for terms and conditions of usage.
##
## If you use this work or any portion thereof in published work,
## please cite it as:
##
## Sukumaran, J. and M. T. Holder. 2010. DendroPy: a Python library
## for phylogenetic computing. Bioinformatics 26: 1569-1571.
##
##############################################################################
"""
Infrastructure for phylogenetic data objects.
"""
import os
import copy
from io import StringIO
import sys
from dendropy.utility import container
from dendropy.utility import bibtex
from dendropy.utility import textprocessing
from dendropy.utility import urlio
from dendropy.utility import error
from dendropy.utility import deprecate
##############################################################################
## Keyword Processor
def _extract_serialization_target_keyword(kwargs, target_type):
target_type_keywords = ["file", "path", "url", "data", "stream", "string"]
found_kw = []
for kw in target_type_keywords:
if kw in kwargs:
found_kw.append(kw)
if not found_kw:
raise TypeError("{} not specified; exactly one of the following keyword arguments required to be specified: {}".format(target_type, target_type_keywords))
if len(found_kw) > 1:
raise TypeError("{} specified multiple times: {}".format(target_type, found_kw))
target = kwargs.pop(found_kw[0])
if "schema" not in kwargs:
raise TypeError("Mandatory keyword argument 'schema' not specified")
schema = kwargs.pop("schema")
return found_kw[0], target, schema
##############################################################################
## DataObject
[docs]
class DataObject(object):
"""
Base class for all phylogenetic data objects.
"""
def __init__(self, label=None):
self._label = None
if label is not None:
self._set_label(label)
def _get_label(self):
return self._label
def _set_label(self, v):
# self._label = str(v) if v is not None else v
self._label = v
label = property(_get_label, _set_label)
[docs]
def clone(self, depth=1):
"""
Creates and returns a copy of ``self``.
Parameters
----------
depth : integer
The depth of the copy:
- 0: shallow-copy: All member objects are references,
except for :attr:``annotation_set`` of top-level object and
member |Annotation| objects: these are full,
independent instances (though any complex objects in the
``value`` field of |Annotation| objects are also
just references).
- 1: taxon-namespace-scoped copy: All member objects are full
independent instances, *except* for |TaxonNamespace|
and |Taxon| instances: these are references.
- 2: Exhaustive deep-copy: all objects are cloned.
"""
if depth == 0:
return copy.copy(self)
elif depth == 1:
return self.taxon_namespace_scoped_copy(memo=None)
elif depth == 2:
return copy.deepcopy(self)
else:
raise TypeError("Unsupported cloning depth: {}".format(depth))
[docs]
def taxon_namespace_scoped_copy(self, memo=None):
"""
Cloning level: 1.
Taxon-namespace-scoped copy: All member objects are full independent
instances, *except* for |TaxonNamespace| and |Taxon|
objects: these are preserved as references.
"""
raise NotImplementedError
##############################################################################
## Deserializable
class Deserializable(object):
"""
Mixin class which all classes that require deserialization should subclass.
"""
@classmethod
def _parse_and_create_from_stream(cls, stream, schema, **kwargs):
"""
Subclasses need to implement this method to create
and return and instance of themselves read from the
stream.
"""
raise NotImplementedError
@classmethod
def _get_from(cls, **kwargs):
"""
Factory method to return new object of this class from an external
source by dispatching calls to more specialized ``get_from_*`` methods.
Implementing classes will have a publically-exposed method, ``get()``,
that wraps a call to this method. This allows for class-specific
documentation of keyword arguments. E.g.::
@classmethod
def get(cls, **kwargs):
'''
... (documentation) ...
'''
return cls._get_from(**kwargs)
"""
try:
src_type, src, schema = _extract_serialization_target_keyword(kwargs, "Source")
except Exception as e:
raise e
if src_type == "file" or src_type == "stream":
return cls.get_from_stream(src=src, schema=schema, **kwargs)
elif src_type == "path":
return cls.get_from_path(src=src, schema=schema, **kwargs)
elif src_type == "data" or src_type == "string":
return cls.get_from_string(src=src, schema=schema, **kwargs)
elif src_type == "url":
return cls.get_from_url(src=src, schema=schema, **kwargs)
else:
raise ValueError("Unsupported source type: {}".format(src_type))
@classmethod
def get_from_stream(cls, src, schema, **kwargs):
"""
Factory method to return new object of this class from file-like object
``src``.
Parameters
----------
src : file or file-like
Source of data.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
pdo : phylogenetic data object
New instance of object, constructed and populated from data given
in source.
"""
return cls._parse_and_create_from_stream(stream=src,
schema=schema,
**kwargs)
@classmethod
def get_from_path(cls, src, schema, **kwargs):
"""
Factory method to return new object of this class from file
specified by string ``src``.
Parameters
----------
src : string
Full file path to source of data.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
pdo : phylogenetic data object
New instance of object, constructed and populated from data given
in source.
"""
open_args = ["r"] if sys.version_info >= (3, 3) else ["rU"]
with open(src, *open_args) as fsrc:
return cls._parse_and_create_from_stream(stream=fsrc,
schema=schema,
**kwargs)
@classmethod
def get_from_string(cls, src, schema, **kwargs):
"""
Factory method to return new object of this class from string ``src``.
Parameters
----------
src : string
Data as a string.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
pdo : phylogenetic data object
New instance of object, constructed and populated from data given
in source.
"""
ssrc = StringIO(src)
return cls._parse_and_create_from_stream(stream=ssrc,
schema=schema,
**kwargs)
@classmethod
def get_from_url(cls, src, schema, strip_markup=False, **kwargs):
"""
Factory method to return a new object of this class from
URL given by ``src``.
Parameters
----------
src : string
URL of location providing source of data.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
pdo : phylogenetic data object
New instance of object, constructed and populated from data given
in source.
"""
text = urlio.read_url(src, strip_markup=strip_markup)
ssrc = StringIO(text)
try:
return cls._parse_and_create_from_stream(
stream=ssrc,
schema=schema,
**kwargs)
except error.DataParseError as exc:
exc.url_text = text
raise
##############################################################################
## MultiReadabe
class MultiReadable(object):
"""
Mixin class which all classes that support multiple (e.g., aggregative) deserialization should subclass.
"""
def _parse_and_add_from_stream(self, stream, schema, **kwargs):
"""
Populates/constructs objects of this type from ``schema``-formatted
data in the file-like object source ``stream``.
Parameters
----------
stream : file or file-like
Source of data.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
n : ``int`` or ``tuple`` [``int``]
A value indicating size of data read, where "size" depends on
the object:
- |Tree|: **undefined**
- |TreeList|: number of trees
- |CharacterMatrix|: number of sequences
- |DataSet|: ``tuple`` (number of taxon namespaces, number of tree lists, number of matrices)
"""
raise NotImplementedError
def _read_from(self, **kwargs):
"""
Add data to objects of this class from an external
source by dispatching calls to more specialized ``read_from_*`` methods.
Implementing classes will have a publically-exposed method, ``read()``,
that wraps a call to this method. This allows for class-specific
documentation of keyword arguments. E.g.::
def read(self, **kwargs):
'''
... (documentation) ...
'''
return MultiReadable._read_from(self, **kwargs)
"""
try:
src_type, src, schema = _extract_serialization_target_keyword(kwargs, "Source")
except Exception as e:
raise e
if src_type == "file" or src_type == "stream":
return self.read_from_stream(src=src, schema=schema, **kwargs)
elif src_type == "path":
return self.read_from_path(src=src, schema=schema, **kwargs)
elif src_type == "data" or src_type == "string":
return self.read_from_string(src=src, schema=schema, **kwargs)
elif src_type == "url":
return self.read_from_url(src=src, schema=schema, **kwargs)
else:
raise ValueError("Unsupported source type: {}".format(src_type))
def read_from_stream(self, src, schema, **kwargs):
"""
Reads from file (exactly equivalent to just ``read()``, provided
here as a separate method for completeness.
Parameters
----------
fileobj : file or file-like
Source of data.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
n : ``tuple`` [integer]
A value indicating size of data read, where "size" depends on
the object:
- |Tree|: **undefined**
- |TreeList|: number of trees
- |CharacterMatrix|: number of sequences
- |DataSet|: ``tuple`` (number of taxon namespaces, number of tree lists, number of matrices)
"""
return self._parse_and_add_from_stream(stream=src, schema=schema, **kwargs)
def read_from_path(self, src, schema, **kwargs):
"""
Reads data from file specified by ``filepath``.
Parameters
----------
filepath : file or file-like
Full file path to source of data.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
n : ``tuple`` [integer]
A value indicating size of data read, where "size" depends on
the object:
- |Tree|: **undefined**
- |TreeList|: number of trees
- |CharacterMatrix|: number of sequences
- |DataSet|: ``tuple`` (number of taxon namespaces, number of tree lists, number of matrices)
"""
open_args = ["r"] if sys.version_info >= (3, 3) else ["rU"]
with open(src, *open_args) as fsrc:
return self._parse_and_add_from_stream(stream=fsrc, schema=schema, **kwargs)
def read_from_string(self, src, schema, **kwargs):
"""
Reads a string.
Parameters
----------
src_str : string
Data as a string.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
n : ``tuple`` [integer]
A value indicating size of data read, where "size" depends on
the object:
- |Tree|: **undefined**
- |TreeList|: number of trees
- |CharacterMatrix|: number of sequences
- |DataSet|: ``tuple`` (number of taxon namespaces, number of tree lists, number of matrices)
"""
s = StringIO(src)
return self._parse_and_add_from_stream(stream=s, schema=schema, **kwargs)
def read_from_url(self, src, schema, **kwargs):
"""
Reads a URL source.
Parameters
----------
src : string
URL of location providing source of data.
schema : string
Specification of data format (e.g., "nexus").
kwargs : keyword arguments, optional
Arguments to customize parsing, instantiation, processing, and
accession of objects read from the data source, including schema-
or format-specific handling. These will be passed to the underlying
schema-specific reader for handling.
Returns
-------
n : ``tuple`` [integer]
A value indicating size of data read, where "size" depends on
the object:
- |Tree|: **undefined**
- |TreeList|: number of trees
- |CharacterMatrix|: number of sequences
- |DataSet|: ``tuple`` (number of taxon namespaces, number of tree lists, number of matrices)
"""
src_str = urlio.read_url(src)
s = StringIO(src_str)
return self._parse_and_add_from_stream(stream=s, schema=schema, **kwargs)
##############################################################################
## NonMultiReadable
class NonMultiReadable(object):
"""
Mixin to enforce transition from DendroPy 3 to DendroPy 4 API
"""
def error(self, funcname):
read_from_func = funcname
get_from_func = funcname.replace("read", "get")
raise TypeError(("\n".join((
"The '{classname}' class no longer supports ",
"(re-)population by re-reading data from an external ",
"source. Instantiate a new object using, for example, ",
"'{classname}.{get_from_func}()' and bind it to",
"the variable name instead. That is, instead of:",
"",
" x.{read_from_func}(...)",
"",
"use:",
"",
" x = {classname}.{get_from_func}(...)",
"",
"",
))).format(classname=self.__class__.__name__, get_from_func=get_from_func, read_from_func=read_from_func))
def read(self, stream, schema, **kwargs):
raise NotImplementedError()
def read_from_stream(self, fileobj, schema, **kwargs):
self.error("read_from_stream")
def read_from_path(self, filepath, schema, **kwargs):
self.error("read_from_path")
def read_from_string(self, src_str, schema, **kwargs):
self.error("read_from_string")
def read_from_url(self, url, schema, **kwargs):
self.error("read_from_url")
##############################################################################
## Serializable
class Serializable(object):
"""
Mixin class which all classes that require serialization should subclass.
"""
def _format_and_write_to_stream(self, stream, schema, **kwargs):
"""
Writes the object to the file-like object ``stream`` in ``schema``
schema.
"""
raise NotImplementedError
def _write_to(self, **kwargs):
"""
Write this object to an external resource by dispatching calls to more
specialized ``write_to_*`` methods. Implementing classes will have a
publically-exposed method, ``write()``, that wraps a call to this
method. This allows for class-specific documentation of keyword
arguments. E.g.::
def write(self, **kwargs):
'''
... (documentation) ...
'''
return Serializable._write_to(self, **kwargs)
"""
try:
dest_type, dest, schema = _extract_serialization_target_keyword(kwargs, "Destination")
except Exception as e:
raise e
if dest_type == "file":
return self.write_to_stream(dest=dest, schema=schema, **kwargs)
elif dest_type == "path":
return self.write_to_path(dest=dest, schema=schema, **kwargs)
else:
raise ValueError("Unsupported source type: {}".format(dest_type))
def write(self, **kwargs):
"""
Writes out ``self`` in ``schema`` format.
**Mandatory Destination-Specification Keyword Argument (Exactly One of the Following Required):**
- **file** (*file*) -- File or file-like object opened for writing.
- **path** (*str*) -- Path to file to which to write.
**Mandatory Schema-Specification Keyword Argument:**
- **schema** (*str*) -- Identifier of format of data. See
"|Schemas|" for more details.
**Optional Schema-Specific Keyword Arguments:**
These provide control over how the data is formatted, and supported
argument names and values depend on the schema as specified by the
value passed as the "``schema``" argument. See "|Schemas|" for more
details.
Examples
--------
::
d.write(path="path/to/file.dat",
schema="nexus",
preserve_underscores=True)
f = open("path/to/file.dat")
d.write(file=f,
schema="nexus",
preserve_underscores=True)
"""
return Serializable._write_to(self, **kwargs)
def write_to_stream(self, dest, schema, **kwargs):
"""
Writes to file-like object ``dest``.
"""
return self._format_and_write_to_stream(stream=dest, schema=schema, **kwargs)
def write_to_path(self, dest, schema, **kwargs):
"""
Writes to file specified by ``dest``.
"""
with open(os.path.expandvars(os.path.expanduser(dest)), "w") as f:
return self._format_and_write_to_stream(stream=f, schema=schema, **kwargs)
def as_string(self, schema, **kwargs):
"""
Composes and returns string representation of the data.
**Mandatory Schema-Specification Keyword Argument:**
- **schema** (*str*) -- Identifier of format of data. See
"|Schemas|" for more details.
**Optional Schema-Specific Keyword Arguments:**
These provide control over how the data is formatted, and supported
argument names and values depend on the schema as specified by the
value passed as the "``schema``" argument. See "|Schemas|" for more
details.
"""
s = StringIO()
self._format_and_write_to_stream(stream=s, schema=schema, **kwargs)
return s.getvalue()
##############################################################################
## Annotable
[docs]
class Annotable(object):
"""
Mixin class which all classes that need to persist object attributes
or other information as metadata should subclass.
"""
def __init__(self):
self.comments = []
def _get_annotations(self):
if not hasattr(self, "_annotations"):
self._annotations = AnnotationSet(self)
return self._annotations
def _set_annotations(self, annotations):
if hasattr(self, "_annotations") \
and annotations is self._annotations \
and self._annotations.target is self:
return
if not isinstance(annotations, AnnotationSet):
raise ValueError("Cannot set 'annotations' to object of type '{}'".format(type(annotations)))
old_target = annotations.target
self._annotations = annotations
self._annotations.target = self
for a in self._annotations:
if a.is_attribute and a._value[0] is old_target:
a.target = self
annotations = property(_get_annotations, _set_annotations)
def _has_annotations(self):
return hasattr(self, "_annotations") and len(self._annotations) > 0
has_annotations = property(_has_annotations)
[docs]
def copy_annotations_from(self,
other,
attribute_object_mapper=None):
"""
Copies annotations from ``other``, which must be of |Annotable|
type.
Copies are deep-copies, in that the |Annotation| objects added
to the ``annotation_set`` |AnnotationSet| collection of ``self`` are
independent copies of those in the ``annotate_set`` collection of
``other``. However, dynamic bound-attribute annotations retain references
to the original objects as given in ``other``, which may or may not be
desirable. This is handled by updated the objects to which attributes
are bound via mappings found in ``attribute_object_mapper``.
In dynamic bound-attribute annotations, the ``_value`` attribute of the
annotations object (:attr:`Annotation._value`) is a tuple consisting of
"``(obj, attr_name)``", which instructs the |Annotation| object to
return "``getattr(obj, attr_name)``" (via: "``getattr(*self._value)``")
when returning the value of the Annotation. "``obj``" is typically the object
to which the |AnnotationSet| belongs (i.e., ``self``). When a copy
of |Annotation| is created, the object reference given in the
first element of the ``_value`` tuple of dynamic bound-attribute
annotations are unchanged, unless the id of the object reference is fo
Parameters
----------
``other`` : |Annotable|
Source of annotations to copy.
``attribute_object_mapper`` : dict
Like the ``memo`` of ``__deepcopy__``, maps object id's to objects. The
purpose of this is to update the parent or owner objects of dynamic
attribute annotations.
If a dynamic attribute |Annotation|
gives object ``x`` as the parent or owner of the attribute (that is,
the first element of the :attr:`Annotation._value` tuple is
``other``) and ``id(x)`` is found in ``attribute_object_mapper``,
then in the copy the owner of the attribute is changed to
``attribute_object_mapper[id(x)]``.
If ``attribute_object_mapper`` is |None| (default), then the
following mapping is automatically inserted: ``id(other): self``.
That is, any references to ``other`` in any |Annotation|
object will be remapped to ``self``. If really no reattribution
mappings are desired, then an empty dictionary should be passed
instead.
"""
if hasattr(other, "_annotations"):
if attribute_object_mapper is None:
attribute_object_mapper = {id(object):self}
for a1 in other._annotations:
a2 = a1.clone(attribute_object_mapper=attribute_object_mapper)
if a2.is_attribute and a2._value[0] is other:
a2._value = (attribute_object_mapper.get(id(other), other), a2._value[1])
self.annotations.add(a2)
[docs]
def deep_copy_annotations_from(self, other, memo=None):
"""
Note that all references to ``other`` in any annotation value (and
sub-annotation, and sub-sub-sub-annotation, etc.) will be
replaced with references to ``self``. This may not always make sense
(i.e., a reference to a particular entity may be absolute regardless of
context).
"""
if hasattr(other, "_annotations"):
# if not isinstance(self, other.__class__) or not isinstance(other, self.__class__):
if type(self) is not type(other):
raise TypeError("Cannot deep-copy annotations from different type (unable to assume object equivalence in dynamic or nested annotations)")
if memo is None:
memo = {}
for a1 in other._annotations:
a2 = copy.deepcopy(a1, memo=memo)
memo[id(a1)] = a2
if a2.is_attribute and a1._value[0] is other:
a2._value = (self, a1._value[1])
self.annotations.add(a2)
if hasattr(self, "_annotations"):
memo[id(other._annotations)] = self._annotations
# def __copy__(self):
# o = self.__class__.__new__(self.__class__)
# for k in self.__dict__:
# if k == "_annotations":
# continue
# o.__dict__[k] = self.__dict__[k]
# o.copy_annotations_from(self)
[docs]
def __copy__(self, memo=None):
"""
Cloning level: 0.
:attr:``annotation_set`` of top-level object and member |Annotation|
objects are full, independent instances. All other member objects (include
objects referenced by dynamically-bound attribute values of
|Annotation| objects) are references.
All member objects are references, except for
"""
if memo is None:
memo = {}
other = self.__class__()
memo[id(self)] = other
for k in self.__dict__:
if k == "_annotations":
continue
other.__dict__[k] = copy.copy(self.__dict__[k])
memo[id(self.__dict__[k])] = other.__dict__[k]
self.deep_copy_annotations_from(other, memo=memo)
def __deepcopy__(self, memo=None):
# ensure clone map
if memo is None:
memo = {}
# get or create clone of self
try:
other = memo[id(self)]
except KeyError:
# create object without initialization
# other = type(self).__new__(self.__class__)
other = self.__class__.__new__(self.__class__)
# store
memo[id(self)] = other
# copy other attributes first, skipping annotations
for k in self.__dict__:
if k == "_annotations":
continue
if k in other.__dict__:
continue
other.__dict__[k] = copy.deepcopy(self.__dict__[k], memo)
memo[id(self.__dict__[k])] = other.__dict__[k]
# assert id(self.__dict__[k]) in memo
# create annotations
other.deep_copy_annotations_from(self, memo)
# return
return other
##############################################################################
## Annotation
[docs]
class Annotation(Annotable):
"""
Metadata storage, composition and persistance, with the following attributes:
* ``name``
* ``value``
* ``datatype_hint``
* ``name_prefix``
* ``namespace``
* ``annotate_as_reference``
* ``is_hidden``
* ``real_value_format_specifier`` - format specifier for printing or rendering
values as string, given in Python's format specification
mini-language. E.g., '.8f', '4E', '>04d'.
"""
def __init__(self,
name,
value,
datatype_hint=None,
name_prefix=None,
namespace=None,
name_is_prefixed=False,
is_attribute=False,
annotate_as_reference=False,
is_hidden=False,
label=None,
real_value_format_specifier=None,
):
self._value = value
self.is_attribute = is_attribute
if name_is_prefixed:
self.prefixed_name = name
if name_prefix is not None:
self._name_prefix = name_prefix
else:
self.name = name
self._name_prefix = name_prefix
self.datatype_hint = datatype_hint
self._namespace = None
self.namespace = namespace
self.annotate_as_reference = annotate_as_reference
self.is_hidden = is_hidden
self.real_value_format_specifier = real_value_format_specifier
def __eq__(self, o):
return self is o
# if not isinstance(o, self.__class__):
# return False
# if self._value != o._value:
# return False
# if self.is_attribute != o.is_attribute:
# return False
# if self.is_attribute and o.is_attribute:
# if getattr(*self._value) != getattr(*o._value):
# return False
# # at this point, we have established that the values
# # are equal
# return (self.name == o.name
# and self._name_prefix == o._name_prefix
# and self.datatype_hint == o.datatype_hint
# and self._namespace == o._namespace
# and self.annotate_as_reference == o.annotate_as_reference
# and self.is_hidden == o.is_hidden
# and ( ((not hasattr(self, "_annotations")) and (not hasattr(o, "_annotations")))
# or (hasattr(self, "_annotations") and hasattr(o, "_annotations") and self._annotations == o._annotations)))
def __hash__(self):
return id(self)
def __str__(self):
return "{}='{}'".format(self.name, self.value)
def __copy__(self):
return self.clone()
# def __deepcopy__(self, memo=None):
# if memo is None:
# memo = {}
# o = self.__class__.__new__(self.__class__)
# memo[id(self)] = o
# for k in self.__dict__:
# # if k not in o.__dict__: # do not add attributes already added by base class
# print("--->{}: {}".format(id(o), k))
# o.__dict__[k] = copy.deepcopy(self.__dict__[k], memo)
# memo[id(self.__dict__[k])] = o.__dict__[k]
# return o
[docs]
def clone(self, attribute_object_mapper=None):
"""
Essentially a shallow-copy, except that any objects in the ``_value``
field with an ``id`` found in ``attribute_object_mapper`` will be replaced
with ``attribute_object_mapper[id]``.
"""
o = self.__class__.__new__(self.__class__)
if attribute_object_mapper is None:
attribute_object_mapper = {id(self):o}
if hasattr(self, "_annotations"):
o.copy_annotations_from(self)
for k in self.__dict__:
if k == "_annotations":
continue
o.__dict__[k] = self.__dict__[k]
return o
def is_match(self, **kwargs):
match = True
for k, v in kwargs.items():
if k == "name_prefix":
if self.name_prefix != v:
return False
elif k == "prefixed_name":
if self.prefixed_name != v:
return False
elif k == "namespace":
if self.namespace != v:
return False
elif k == "value":
if self.value != v:
return False
elif hasattr(self, k):
if getattr(self, k) != v:
return False
return True
def _get_value(self):
if self.is_attribute:
return getattr(*self._value)
else:
return self._value
def _set_value(self, value):
self._value = value
value = property(_get_value, _set_value)
def _get_name_prefix(self):
if self._name_prefix is None:
self._name_prefix = "dendropy"
return self._name_prefix
def _set_name_prefix(self, prefix):
self._name_prefix = prefix
name_prefix = property(_get_name_prefix, _set_name_prefix)
def _get_namespace(self):
if self._namespace is None:
self._namespace = "http://pypi.org/project/DendroPy/"
return self._namespace
def _set_namespace(self, prefix):
self._namespace = prefix
namespace = property(_get_namespace, _set_namespace)
def _get_prefixed_name(self):
return "{}:{}".format(self.name_prefix, self.name)
def _set_prefixed_name(self, prefixed_name):
self._name_prefix, self.name = textprocessing.parse_curie_standard_qualified_name(prefixed_name)
prefixed_name = property(_get_prefixed_name, _set_prefixed_name)
##############################################################################
## AnnotationSet
[docs]
class AnnotationSet(container.OrderedSet):
def __init__(self, target, *args):
container.OrderedSet.__init__(self, *args)
self.target = target
def __eq__(self, other):
if not isinstance(other, self.__class__):
return False
return (container.OrderedSet.__eq__(self, other))
#and self.target is other.target) # we consider two
# AnnotationSet objects equal even if their targets are
# different; this is because (a) the target is convenience
# artifact, so client code calls to ``add_bound_attribute`` do
# not need to specify an owner, and (b) the target is not part
# of the contents of the AnnotationSet
def __str__(self):
return "AnnotationSet([{}])".format(( ", ".join(str(a) for a in self)))
def __deepcopy__(self, memo):
try:
o = self.__class__(target=memo[id(self.target)])
except KeyError:
raise KeyError("deepcopy error: object id {} not found: {}".format(id(self.target), repr(self.target)))
memo[id(self)] = o
for a in self:
x = copy.deepcopy(a, memo)
memo[id(a)] = x
o.add(x)
return o
[docs]
def __getitem__(self, name):
"""
Experimental! Inefficient! Volatile! Subject to change!
"""
if isinstance(name, int):
return container.OrderedSet.__getitem__(self, name)
for a in self:
if a.name == name:
return a
a = self.add_new(name, "")
return a
[docs]
def __setitem__(self, name, value):
"""
Experimental! Inefficient! Volatile! Subject to change!
"""
if isinstance(name, int):
container.OrderedSet.__setitem__(self, name, value)
for a in self:
if a.name == name:
a.value = value
return
self.add_new(name=name, value=value)
[docs]
def add_new(self,
name,
value,
datatype_hint=None,
name_prefix=None,
namespace=None,
name_is_prefixed=False,
is_attribute=False,
annotate_as_reference=False,
is_hidden=False,
real_value_format_specifier=None,
):
"""
Add an annotation.
Parameters
----------
name : string
The property/subject/field of the annotation (e.g. "color",
"locality", "dc:citation")
value: string
The content of the annotation.
datatype_hint : string, optional
Mainly for NeXML output (e.g. "xsd:string").
namespace_prefix : string, optional
Mainly for NeXML output (e.g. "dc:").
namespace : string, optional
Mainly for NeXML output (e.g. "http://www.w3.org/XML/1998/namespace").
name_is_prefixed : string, optional
Mainly for NeXML *input*: name will be split into prefix and local part
before storage (e.g., "dc:citations" will result in prefix = "dc" and
name="citations")
is_attribute : boolean, optional
If value is passed as a tuple of (object, "attribute_name") and this
is True, then actual content will be the result of calling
``getattr(object, "attribute_name")``.
annotate_as_reference : boolean, optional
The value should be interpreted as a URI that points to content.
is_hidden : boolean, optional
Do not write or print this annotation when writing data.
real_value_format_specifier : str
Format specifier for printing or rendering values as string, given
in Python's format specification mini-language. E.g., '.8f', '4E',
'>04d'.
Returns
-------
annotation : |Annotation|
The new |Annotation| created.
"""
if not name_is_prefixed:
if name_prefix is None and namespace is None:
name_prefix = "dendropy"
namespace = "http://pypi.org/project/DendroPy/"
elif name_prefix is None:
raise TypeError("Cannot specify 'name_prefix' for unqualified name without specifying 'namespace'")
elif namespace is None:
raise TypeError("Cannot specify 'namespace' for unqualified name without specifying 'name_prefix'")
else:
if namespace is None:
raise TypeError("Cannot specify qualified name without specifying 'namespace'")
annote = Annotation(
name=name,
value=value,
datatype_hint=datatype_hint,
name_prefix=name_prefix,
namespace=namespace,
name_is_prefixed=name_is_prefixed,
is_attribute=is_attribute,
annotate_as_reference=annotate_as_reference,
is_hidden=is_hidden,
real_value_format_specifier=real_value_format_specifier,
)
return self.add(annote)
[docs]
def add_bound_attribute(self,
attr_name,
annotation_name=None,
datatype_hint=None,
name_prefix=None,
namespace=None,
name_is_prefixed=False,
annotate_as_reference=False,
is_hidden=False,
real_value_format_specifier=None,
owner_instance=None,
):
"""
Add an attribute of an object as a dynamic annotation. The value of the
annotation will be dynamically bound to the value of the attribute.
Parameters
----------
attr_name : string
The (string) name of the attribute to be used as the source of the
content or value of the annotation.
annotation_name : string, optional
Use this string as the annotation field/name rather than the attribute
name.
datatype_hint : string, optional
Mainly for NeXML output (e.g. "xsd:string").
namespace_prefix : string, optional
Mainly for NeXML output (e.g. "dc:").
namespace : string, optional
Mainly for NeXML output (e.g. "http://www.w3.org/XML/1998/namespace").
name_is_prefixed : string, optional
Mainly for NeXML *input*: name will be split into prefix and local part
before storage (e.g., "dc:citations" will result in prefix = "dc" and
name="citations")
annotate_as_reference : bool, optional
The value should be interpreted as a URI that points to content.
is_hidden : bool, optional
Do not write or print this annotation when writing data.
owner_instance : object, optional
The object whose attribute is to be used as the value of the
annotation. Defaults to ``self.target``.
Returns
-------
annotation : |Annotation|
The new |Annotation| created.
"""
if annotation_name is None:
annotation_name = attr_name
if owner_instance is None:
owner_instance = self.target
if not hasattr(owner_instance, attr_name):
raise AttributeError(attr_name)
if not name_is_prefixed:
if name_prefix is None and namespace is None:
name_prefix = "dendropy"
namespace = "http://pypi.org/project/DendroPy/"
elif name_prefix is None:
raise TypeError("Cannot specify 'name_prefix' for unqualified name without specifying 'namespace'")
elif namespace is None:
raise TypeError("Cannot specify 'namespace' for unqualified name without specifying 'name_prefix'")
else:
if namespace is None:
raise TypeError("Cannot specify qualified name without specifying 'namespace'")
annote = Annotation(
name=annotation_name,
value=(owner_instance, attr_name),
datatype_hint=datatype_hint,
name_prefix=name_prefix,
namespace=namespace,
name_is_prefixed=name_is_prefixed,
is_attribute=True,
annotate_as_reference=annotate_as_reference,
is_hidden=is_hidden,
real_value_format_specifier=real_value_format_specifier,
)
return self.add(annote)
[docs]
def add_citation(self,
citation,
read_as="bibtex",
store_as="bibtex",
name_prefix=None,
namespace=None,
is_hidden=False):
"""
Add a citation as an annotation.
Parameters
----------
citation : string or dict or `BibTexEntry`
The citation to be added. If a string, then it must be a
BibTex-formatted entry. If a dictionary, then it must have
BibTex fields as keys and contents as values.
read_as : string, optional
Specifies the format/schema/structure of the citation. Currently
only supports 'bibtex'.
store_as : string, optional
Specifies how to record the citation, with one of the
following strings as values: "bibtex" (a set of annotations, where
each BibTex field becomes a separate annotation); "prism"
(a set of PRISM [Publishing Requirements for Industry Standard
Metadata] annotations); "dublin" (A set of of Dublic Core
annotations). Defaults to "bibtex".
name_prefix : string, optional
Mainly for NeXML output (e.g. "dc:").
namespace : string, optional
Mainly for NeXML output (e.g. "http://www.w3.org/XML/1998/namespace").
is_hidden : boolean, optional
Do not write or print this annotation when writing data.
Returns
-------
annotation : |Annotation|
The new |Annotation| created.
"""
deprecate.dendropy_deprecation_warning(
message=(
"BibTexEntry is deprecated as of DendroPy 5.0 and will be removed in a future release ."
"It no longer maintaned, and known to be broken. "
"If this functionality is needed, please open an issue on GitHub."
),
)
if read_as == "bibtex":
return self.add_bibtex(citation=citation,
store_as=store_as,
name_prefix=name_prefix,
namespace=namespace,
is_hidden=is_hidden)
else:
raise ValueError("Source format '{}' is not supported".format(read_as))
[docs]
def add_bibtex(self,
citation,
store_as="bibtex",
name_prefix=None,
namespace=None,
is_hidden=False):
"""
Add a citation as an annotation.
Parameters
----------
citation : string or dict or `BibTexEntry`
The citation to be added. If a string, then it must be a
BibTex-formatted entry. If a dictionary, then it must have
BibTex fields as keys and contents as values.
store_as : string, optional
Specifies how to record the citation, with one of the
following strings as values: "bibtex" (a set of annotations, where
each BibTex field becomes a separate annotation); "prism"
(a set of PRISM [Publishing Requirements for Industry Standard
Metadata] annotations); "dublin" (A set of of Dublic Core
annotations). Defaults to "bibtex".
name_prefix : string, optional
Mainly for NeXML output (e.g. "dc:").
namespace : string, optional
Mainly for NeXML output (e.g. "http://www.w3.org/XML/1998/namespace").
is_hidden : boolean, optional
Do not write or print this annotation when writing data.
Returns
-------
annotation : |Annotation|
The new |Annotation| created.
"""
deprecate.dendropy_deprecation_warning(
message=(
"BibTexEntry is deprecated as of DendroPy 5.0 and will be removed in a future release ."
"It no longer maintaned, and known to be broken. "
"If this functionality is needed, please open an issue on GitHub."
),
)
bt = bibtex.BibTexEntry(citation)
bt_dict = bt.fields_as_dict()
if name_prefix is None and namespace is not None:
raise TypeError("Cannot specify 'name_prefix' for unqualified name without specifying 'namespace'")
elif namespace is None and name_prefix is not None:
raise TypeError("Cannot specify 'namespace' for unqualified name without specifying 'name_prefix'")
if store_as.lower().startswith("bibtex"):
if name_prefix is None and namespace is None:
name_prefix = "bibtex"
namespace = "http://www.edutella.org/bibtex#"
self.add_new(
name="bibtype",
value=bt.bibtype,
datatype_hint="xsd:string",
name_prefix=name_prefix,
namespace=namespace,
name_is_prefixed=False,
is_attribute=False,
annotate_as_reference=False,
is_hidden=is_hidden)
self.add_new(
name="citekey",
value=bt.citekey,
datatype_hint="xsd:string",
name_prefix=name_prefix,
namespace=namespace,
name_is_prefixed=False,
is_attribute=False,
annotate_as_reference=False,
is_hidden=is_hidden)
for entry_key, entry_value in bt_dict.items():
self.add_new(
name=entry_key,
value=entry_value,
datatype_hint="xsd:string",
name_prefix=name_prefix,
namespace=namespace,
name_is_prefixed=False,
is_attribute=False,
annotate_as_reference=False,
is_hidden=is_hidden)
# elif store_as.lower().startswith("bibtex-record"):
# if name_prefix is None and namespace is None:
# name_prefix = "dendropy"
# namespace = "http://pypi.org/project/DendroPy/"
# self.add_new(
# name="bibtex",
# value=bt.as_compact_bibtex(),
# datatype_hint="xsd:string",
# name_is_prefixed=False,
# name_prefix=name_prefix,
# namespace=namespace,
# is_attribute=False,
# annotate_as_reference=False,
# is_hidden=is_hidden)
elif store_as.lower().startswith("prism"):
prism_map = {
'volume': bt_dict.get('volume', None),
'publicationName': bt_dict.get('journal', None),
'pageRange': bt_dict.get('pages', None),
'publicationDate': bt_dict.get('year', None),
}
if name_prefix is None and namespace is None:
name_prefix = "prism"
namespace = "http://prismstandard.org/namespaces/1.2/basic/"
for field, value in prism_map.items():
if value is None:
continue
self.add_new(
name=field,
value=value,
datatype_hint="xsd:string",
name_prefix=name_prefix,
namespace=namespace,
name_is_prefixed=False,
is_attribute=False,
annotate_as_reference=False,
is_hidden=is_hidden)
elif store_as.lower().startswith("dublin"):
dc_map = {
'title': bt_dict.get('title', None),
'creator': bt_dict.get('author', None),
'publisher': bt_dict.get('journal', None),
'date': bt_dict.get('year', None),
}
if name_prefix is None and namespace is None:
name_prefix = "dc"
namespace = "http://purl.org/dc/elements/1.1/"
for field, value in dc_map.items():
if value is None:
continue
self.add_new(
name=field,
value=value,
datatype_hint="xsd:string",
name_is_prefixed=False,
name_prefix=name_prefix,
namespace=namespace,
is_attribute=False,
annotate_as_reference=False,
is_hidden=is_hidden)
else:
raise ValueError("Unrecognized composition specification: '{}'".format(store_as))
[docs]
def findall(self, **kwargs):
"""
Returns AnnotationSet of Annotation objects associated with self.target
that match based on *all* criteria specified in keyword arguments::
>>> notes = tree.annotations.findall(name="color")
>>> notes = tree.annotations.findall(namespace="http://pypi.org/project/DendroPy/")
>>> notes = tree.annotations.findall(namespace="http://pypi.org/project/DendroPy/",
name="color")
>>> notes = tree.annotations.findall(name_prefix="dc")
>>> notes = tree.annotations.findall(prefixed_name="dc:color")
If no matches are found, the return AnnotationSet is empty.
If no keyword arguments are given, *all* annotations are returned::
>>> notes = tree.annotations.findall()
Returns
-------
results : |AnnotationSet| or |None|
|AnnotationSet| containing |Annotation| objects that
match criteria, or |None| if no matching annotations found.
"""
results = []
for a in self:
if a.is_match(**kwargs):
results.append(a)
results = AnnotationSet(self.target, results)
return results
[docs]
def find(self, **kwargs):
"""
Returns the *first* Annotation associated with self.target
which matches based on *all* criteria specified in keyword arguments::
>>> note = tree.annotations.find(name="color")
>>> note = tree.annotations.find(name_prefix="dc", name="color")
>>> note = tree.annotations.find(prefixed_name="dc:color")
If no match is found, None is returned.
If no keyword arguments are given, a TypeError is raised.
Returns
-------
results : |Annotation| or |None|
First |Annotation| object found that matches criteria, or
|None| if no matching annotations found.
"""
if "default" in kwargs:
default = kwargs["default"]
del kwargs["default"]
else:
default = None
if not kwargs:
raise TypeError("Search criteria not specified")
for a in self:
if a.is_match(**kwargs):
return a
return default
[docs]
def get_value(self, name, default=None):
"""
Returns the *value* of the *first* Annotation associated with
self.target which has ``name`` in the name field.
If no match is found, then ``default`` is returned.
Parameters
----------
name : string
Name of |Annotation| object whose value is to be returned.
default : any, optional
Value to return if no matching |Annotation| object found.
Returns
-------
results : |Annotation| or |None|
``value`` of first |Annotation| object found that matches
criteria, or |None| if no matching annotations found.
"""
for a in self:
if a.is_match(name=name):
return a.value
return default
[docs]
def require_value(self, name):
"""
Returns the *value* of the *first* Annotation associated with
self.target which has ``name`` in the name field.
If no match is found, then KeyError is raised.
Parameters
----------
name : string
Name of |Annotation| object whose value is to be returned.
Returns
-------
results : |Annotation| or |None|
``value`` of first |Annotation| object found that matches
criteria.
"""
v = self.get_value(name, default=None)
if v is None:
raise KeyError(name)
return v
[docs]
def drop(self, **kwargs):
"""
Removes Annotation objects that match based on *all* criteria specified
in keyword arguments.
Remove all annotation objects with ``name`` ==
"color"::
>>> tree.annotations.drop(name="color")
Remove all annotation objects with ``namespace`` ==
"http://pypi.org/project/DendroPy/"::
>>> tree.annotations.drop(namespace="http://pypi.org/project/DendroPy/")
Remove all annotation objects with ``namespace`` ==
"http://pypi.org/project/DendroPy/" *and* ``name`` == "color"::
>>> tree.annotations.drop(namespace="http://pypi.org/project/DendroPy/",
name="color")
Remove all annotation objects with ``name_prefix`` == "dc"::
>>> tree.annotations.drop(name_prefix="dc")
Remove all annotation objects with ``prefixed_name`` == "dc:color"::
>>> tree.annotations.drop(prefixed_name="dc:color")
If no keyword argument filter criteria are given, *all* annotations are
removed::
>>> tree.annotations.drop()
Returns
-------
results : |AnnotationSet|
|AnnotationSet| containing |Annotation| objects that
were removed.
"""
to_remove = []
for a in self:
if a.is_match(**kwargs):
to_remove.append(a)
for a in to_remove:
self.remove(a)
return AnnotationSet(self.target, to_remove)
[docs]
def values_as_dict(self, **kwargs):
"""
Returns annotation set as a dictionary. The keys and values for the dictionary will
be generated based on the following keyword arguments:
Keyword Arguments
-----------------
key_attr : string
String specifying an Annotation object attribute name to be used
as keys for the dictionary.
key_fn : string
Function that takes an Annotation object as an argument and returns
the value to be used as a key for the dictionary.
value_attr : string
String specifying an Annotation object attribute name to be used
as values for the dictionary.
value_fn : string
Function that takes an Annotation object as an argument and returns
the value to be used as a value for the dictionary.
At most one of ``key_attr`` or ``key_fn`` can be specified. If neither
is specified, then by default the keys are generated from Annotation.name.
At most one of ``value_attr`` or ``value_fn`` can be specified. If neither
is specified, then by default the values are generated from Annotation.value.
Key collisions will result in the dictionary entry for that key being
overwritten.
Returns
-------
values : dict
"""
if "key_attr" in kwargs and "key_fn" in kwargs:
raise TypeError("Cannot specify both 'key_attr' and 'key_fn'")
elif "key_attr" in kwargs:
key_attr = kwargs["key_attr"]
key_fn = lambda a: getattr(a, key_attr)
elif "key_fn" in kwargs:
key_fn = kwargs["key_fn"]
else:
key_fn = lambda a: a.name
if "value_attr" in kwargs and "value_fn" in kwargs:
raise TypeError("Cannot specify both 'value_attr' and 'value_fn'")
elif "value_attr" in kwargs:
value_attr = kwargs["value_attr"]
value_fn = lambda a: getattr(a, value_attr)
elif "value_fn" in kwargs:
value_fn = kwargs["value_fn"]
else:
value_fn = lambda a: a.value
d = {}
for a in self:
d[key_fn(a)] = value_fn(a)
return d
